RESUMO
Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease with an overall median 5-year survival rate of 8%. This poor prognosis is because of the development of resistance to chemotherapy and radiation therapy and lack of effective targeted therapies. IκB kinase enhancer (IKBKE) overexpression was previously implicated in chemoresistance. Because IKBKE is frequently elevated in PDAC and IKBKE inhibitors are currently in clinical trials, we evaluated IKBKE as a therapeutic target in this disease. Depletion of IKBKE was found to significantly reduce PDAC cell survival, growth, cancer stem cell renewal, and cell migration and invasion. Notably, IKBKE inhibitor CYT387 and IKBKE knockdown dramatically activated the MAPK pathway. Phospho-RTK array analyses showed that IKBKE inhibition leads to rapid upregulation of ErbB3 and IGF-1R expression, which results in MAPK-ERK pathway activation-thereby limiting the efficacy of IKBKE inhibitors. Furthermore, IKBKE inhibition leads to stabilization of FOXO3a, which is required for RTK upregulation on IKBKE inhibition. Finally, we demonstrated that the IKBKE inhibitors synergize with the MEK inhibitor trametinib to significantly induce cell death and inhibit tumor growth and liver metastasis in an orthotopic PDAC mouse model.
RESUMO
BACKGROUND: Genome-wide association studies (GWAS) have identified multiple loci associated with epithelial ovarian cancer (EOC) susceptibility, but further progress requires integration of epidemiology and biology to illuminate true risk loci below genome-wide significance levels (P < 5 × 10-8). Most risk SNPs lie within non-protein-encoding regions, and we hypothesize that long noncoding RNA (lncRNA) genes are enriched at EOC risk regions and represent biologically relevant functional targets. METHODS: Using imputed GWAS data from about 18,000 invasive EOC cases and 34,000 controls of European ancestry, the GENCODE (v19) lncRNA database was used to annotate SNPs from 13,442 lncRNAs for permutation-based enrichment analysis. Tumor expression quantitative trait locus (eQTL) analysis was performed for sub-genome-wide regions (1 × 10-5 > P > 5 × 10-8) overlapping lncRNAs. RESULTS: Of 5,294 EOC-associated SNPs (P < 1.0 × 10-5), 1,464 (28%) mapped within 53 unique lncRNAs and an additional 3,484 (66%) SNPs were correlated (r2 > 0.2) with SNPs within 115 lncRNAs. EOC-associated SNPs comprised 130 independent regions, of which 72 (55%) overlapped with lncRNAs, representing a significant enrichment (P = 5.0 × 10-4) that was more pronounced among a subset of 5,401 lncRNAs with active epigenetic regulation in normal ovarian tissue. EOC-associated lncRNAs and their putative promoters and transcription factors were enriched for biologically relevant pathways and eQTL analysis identified five novel putative risk regions with allele-specific effects on lncRNA gene expression. CONCLUSIONS: lncRNAs are significantly enriched at EOC risk regions, suggesting a mechanistic role for lncRNAs in driving predisposition to EOC. IMPACT: lncRNAs represent key candidates for integrative epidemiologic and functional studies. Further research on their biologic role in ovarian cancer is indicated. Cancer Epidemiol Biomarkers Prev; 26(1); 116-25. ©2016 AACR.
